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                            <h1 class="title-article">彻底搞懂Redis的线程模型</h1>
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                                <span class="time">最后发布于2019-08-03 08:00:00                    </span>
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                            <div class="up-time">发布于2019-08-03 08:00:00</div>
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                        <link rel="stylesheet" href="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/ck_htmledit_views-688b67d66a.css">
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                            <p>为了接下来一篇博客，能使读者更加完整地学习线程模型，所以本文对Redis的线程模型进行必要的讲解。</p>

                            <p>由于《Redis设计与实现》对于Redis的讲解简练优雅，所以本文大部分内容节选自本书，也欢迎对Redis有更多底层了解需求的读者，自行购买学习。</p>

                            <p><img alt="640?wx_fmt=jpeg" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X2pwZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmdIaWJVOWV4Y0NwWTlwbkluM3JFa1dRbU1MVVMzZ1VpYWtSVjZjRGZrWmQwVGxkRDB5VjlTRjRsUS82NDA_d3hfZm10PWpwZWc"></p>

                            <h1><a name="t0"></a><a name="t0"></a><span style="color:#0080ff;">文件事件处理器</span></h1>

                            <p>Redis基于Reactor模式开发了网络事件处理器，这个处理器被称为文件事件处理器。它的组成结构为4部分：多个套接字、IO多路复用程序、文件事件分派器、事件处理器。因为文件事件分派器队列的消费是单线程的，所以Redis才叫单线程模型。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmc3VkVOODZWNVpsRHppYjlOODlib1BQQTZPSjd4NzFPcGljU1hlTXZPbHEyMGFzUXZWaWFOQTU1UHcvNjQwP3d4X2ZtdD1wbmc"></p>

                            <h2><a name="t1"></a><a name="t1"></a><span style="color:#0080ff;">消息处理流程</span></h2>

                            <ul><li>
                                <p>文件事件处理器使用I/O多路复用(multiplexing)程序来同时监听多个套接字，并根据套接字目前执行的任务来为套接字关联不同的事件处理器。</p>
                            </li>
                                <li>
                                    <p>当被监听的套接字准备好执行连接应答(accept)、读取(read)、写入(write)、关闭(close)等操作时，与操作相对应的文件事件就会产生，这时文件事件处理器就会调用套接字之前关联好的事件处理器来处理这些事件。</p>
                                </li>
                            </ul><p>尽管多个文件事件可能会并发地出现，但I/O多路复用程序总是会将所有产生事件的套接字都推到一个队列里面，然后通过这个队列，以有序（sequentially）、同步（synchronously）、每次一个套接字的方式向文件事件分派器传送套接字：当上一个套接字产生的事件被处理完毕之后（该套接字为事件所关联的事件处理器执行完毕）， I/O多路复用程序才会继续向文件事件分派器传送下一个套接字。</p>

                            <h2><a name="t2"></a><a name="t2"></a><span style="color:#0080ff;">I/O 多路复用程序的实现</span></h2>

                            <p>Redis的I/O多路复用程序的所有功能是通过包装select、epoll、evport和kqueue这些I/O多路复用函数库来实现的，每个I/O多路复用函数库在Redis源码中都对应一个单独的文件，比如ae_select.c、ae_epoll.c、ae_kqueue.c等。</p>

                            <p>因为Redis为每个I/O多路复用函数库都实现了相同的API，所以I/O多路复用程序的底层实现是可以互换的，如下图所示。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmdzYnNHTVVCSUZzeUxqYlVVT0l0cjludU43Z2liV2M3a1JsUkU4T3ZoRDZ4bEdhRlJYNWxlOU5nLzY0MD93eF9mbXQ9cG5n"></p>

                            <blockquote>
                                <p>有关epoll的详细讲解，可以点击查看，<a href="https://mp.weixin.qq.com/s?__biz=MzUyNzgyNzAwNg==&amp;mid=2247483925&amp;idx=1&amp;sn=1ac3e863594745c7466b0e88a688b203&amp;scene=21#wechat_redirect" rel="nofollow"><span style="color:#0366d6;">彻底搞懂epoll高效运行的原理</span></a></p>
                            </blockquote>

                            <p>Redis在I/O多路复用程序的实现源码中用#include宏定义了相应的规则，程序会在编译时自动选择系统中性能最好的I/O多路复用函数库来作为Redis的I/O多路复用程序的底层实现：</p>

                            <pre class="has" name="code"><code class="language-javascript hljs"><ol class="hljs-ln"><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="1"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line"><span class="hljs-comment"><span class="hljs-comment">/* Include the best multiplexing layer supported by this system.</span></span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="2"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line"><span class="hljs-comment"> * The following should be ordered by performances, descending. */</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="3"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">#ifdef HAVE_EVPORT</div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="4"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">#include <span class="hljs-string">"ae_evport.c"</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="5"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">#<span class="hljs-keyword">else</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="6"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">    #ifdef HAVE_EPOLL</div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="7"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">    #include <span class="hljs-string">"ae_epoll.c"</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="8"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">    #<span class="hljs-keyword">else</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="9"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">        #ifdef HAVE_KQUEUE</div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="10"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">        #include <span class="hljs-string">"ae_kqueue.c"</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="11"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">        #<span class="hljs-keyword">else</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="12"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">        #include <span class="hljs-string">"ae_select.c"</span></div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="13"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">        #endif</div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="14"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">    #endif</div></div></li><li><div class="hljs-ln-numbers"><div class="hljs-ln-line hljs-ln-n" data-line-number="15"></div></div><div class="hljs-ln-code"><div class="hljs-ln-line">#endif</div></div></li></ol></code><div class="hljs-button {2}" data-title="复制" onclick="hljs.copyCode(event)"></div></pre>

                            <h2><a name="t3"></a><a name="t3"></a><span style="color:#0080ff;">文件事件的类型</span></h2>

                            <p>I/O 多路复用程序可以监听多个套接字的ae.h/AE_READABLE事件和ae.h/AE_WRITABLE事件，这两类事件和套接字操作之间的对应关系如下：</p>

                            <ul><li>
                                <p>当套接字变得可读时（客户端对套接字执行write操作，或者执行close操作），或者有新的可应答（acceptable）套接字出现时（客户端对服务器的监听套接字执行connect操作），套接字产生AE_READABLE 事件。</p>
                            </li>
                                <li>
                                    <p>当套接字变得可写时（客户端对套接字执行read操作），套接字产生AE_WRITABLE事件。I/O多路复用程序允许服务器同时监听套接字的AE_READABLE事件和AE_WRITABLE事件，如果一个套接字同时产生了这两种事件，那么文件事件分派器会优先处理AE_READABLE事件，等到AE_READABLE事件处理完之后，才处理AE_WRITABLE 事件。这也就是说，如果一个套接字又可读又可写的话，那么服务器将先读套接字，后写套接字。</p>
                                </li>
                            </ul><h2><a name="t4"></a><a name="t4"></a><span style="color:#0080ff;">文件事件的处理器</span></h2>

                            <p>Redis为文件事件编写了多个处理器，这些事件处理器分别用于实现不同的网络通讯需求，常用的处理器如下：</p>

                            <ul><li>
                                <p>为了对连接服务器的各个客户端进行应答， 服务器要为监听套接字关联连接应答处理器。</p>
                            </li>
                                <li>
                                    <p>为了接收客户端传来的命令请求， 服务器要为客户端套接字关联命令请求处理器。</p>
                                </li>
                                <li>
                                    <p>为了向客户端返回命令的执行结果， 服务器要为客户端套接字关联命令回复处理器。</p>
                                </li>
                            </ul><h3><a name="t5"></a><a name="t5"></a><span style="color:#0080ff;">连接应答处理器</span></h3>

                            <p>networking.c中acceptTcpHandler函数是Redis的连接应答处理器，这个处理器用于对连接服务器监听套接字的客户端进行应答，具体实现为sys/socket.h/accept函数的包装。</p>

                            <p>当Redis服务器进行初始化的时候，程序会将这个连接应答处理器和服务器监听套接字的AE_READABLE事件关联起来，当有客户端用sys/socket.h/connect函数连接服务器监听套接字的时候， 套接字就会产生AE_READABLE 事件， 引发连接应答处理器执行， 并执行相应的套接字应答操作，如图所示。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmdnV1F1MTQzZnlKN2lheXRKWk4xaWNockl1MnZqaFhzQzZXdHVxZUkySG5zaWNqdmM5NnBTaWNNbnR3LzY0MD93eF9mbXQ9cG5n"></p>

                            <h3><a name="t6"></a><a name="t6"></a><span style="color:#0080ff;">命令请求处理器</span></h3>

                            <p>networking.c中readQueryFromClient函数是Redis的命令请求处理器，这个处理器负责从套接字中读入客户端发送的命令请求内容， 具体实现为unistd.h/read函数的包装。</p>

                            <p>当一个客户端通过连接应答处理器成功连接到服务器之后， 服务器会将客户端套接字的AE_READABLE事件和命令请求处理器关联起来，当客户端向服务器发送命令请求的时候，套接字就会产生 AE_READABLE事件，引发命令请求处理器执行，并执行相应的套接字读入操作，如图所示。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmc5YVAyRDNHSDdXZGpub25nZzlaZzVFdExHc05OTlBuRVJmR0lxa0ZTT0dpYUM3SGFyVVRnRWV3LzY0MD93eF9mbXQ9cG5n"></p>

                            <p>在客户端连接服务器的整个过程中，服务器都会一直为客户端套接字的AE_READABLE事件关联命令请求处理器。</p>

                            <h3><a name="t7"></a><a name="t7"></a><span style="color:#0080ff;">命令回复处理器</span></h3>

                            <p>networking.c中sendReplyToClient函数是Redis的命令回复处理器，这个处理器负责将服务器执行命令后得到的命令回复通过套接字返回给客户端，具体实现为unistd.h/write函数的包装。</p>

                            <p>当服务器有命令回复需要传送给客户端的时候，服务器会将客户端套接字的AE_WRITABLE事件和命令回复处理器关联起来，当客户端准备好接收服务器传回的命令回复时，就会产生AE_WRITABLE事件，引发命令回复处理器执行，并执行相应的套接字写入操作， 如图所示。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmdzYThFeU1sNnBXd3VKOGRpYUVWMlNwR1BrT0k3dk1rZDJVU1JxanhabXlnaWNVSnVCTFJpYzJybGcvNjQwP3d4X2ZtdD1wbmc"></p>

                            <p>当命令回复发送完毕之后， 服务器就会解除命令回复处理器与客户端套接字的 AE_WRITABLE 事件之间的关联。</p>

                            <h1><a name="t8"></a><a name="t8"></a><span style="color:#0080ff;">一次完整的客户端与服务器连接事件示例</span></h1>

                            <p>假设Redis服务器正在运作，那么这个服务器的监听套接字的AE_READABLE事件应该正处于监听状态之下，而该事件所对应的处理器为连接应答处理器。</p>

                            <p>如果这时有一个Redis客户端向Redis服务器发起连接，那么监听套接字将产生AE_READABLE事件， 触发连接应答处理器执行：处理器会对客户端的连接请求进行应答， 然后创建客户端套接字，以及客户端状态，并将客户端套接字的 AE_READABLE 事件与命令请求处理器进行关联，使得客户端可以向主服务器发送命令请求。</p>

                            <p>之后，客户端向Redis服务器发送一个命令请求，那么客户端套接字将产生 AE_READABLE事件，引发命令请求处理器执行，处理器读取客户端的命令内容， 然后传给相关程序去执行。</p>

                            <p>执行命令将产生相应的命令回复，为了将这些命令回复传送回客户端，服务器会将客户端套接字的AE_WRITABLE事件与命令回复处理器进行关联：当客户端尝试读取命令回复的时候，客户端套接字将产生AE_WRITABLE事件， 触发命令回复处理器执行， 当命令回复处理器将命令回复全部写入到套接字之后， 服务器就会解除客户端套接字的AE_WRITABLE事件与命令回复处理器之间的关联。</p>

                            <p><img alt="640?wx_fmt=png" class="has" src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X3BuZy9PcVRBbDNXVEM3RmsyQmxOc3MzcmliRlA4NklWak5yTmdyTUdCT25jcURaQVk2M0swZDBWUnp0b1Budm5DbWd6eDlERnlYTTViMzF5QldMVDdzUGVJY1EvNjQwP3d4X2ZtdD1wbmc"></p>

                            <h2><a name="t9"></a><a name="t9"></a><span style="color:#0080ff;">Redis疑问快答</span></h2>

                            <p>详细的解答，请查看笔者之前的几篇Redis博客。</p>

                            <h3><a name="t10"></a><a name="t10"></a><span style="color:#0080ff;">是否使用过Redis集群，集群的原理是什么？</span></h3>

                            <p>Redis Sentinal着眼于高可用，在master宕机时会自动将slave提升为master，继续提供服务。</p>

                            <p>Redis Cluster着眼于扩展性，在单个redis内存不足时，使用Cluster进行分片存储。</p>

                            <h3><a name="t11"></a><a name="t11"></a><span style="color:#0080ff;">如何使用过Redis做异步队列？</span></h3>

                            <p>一般使用list结构作为队列，rpush生产消息，lpop消费消息。当lpop没有消息的时候，要适当sleep一会再重试。</p>

                            <p>如果不用sleep，list还有个指令叫blpop，在没有消息的时候，它会阻塞住直到消息到来。</p>

                            <p>如果想要生产一次消费多次，可以使用pub/sub主题订阅者模式，可以实现1:N的消息队列，但在消费者下线后，生产的消息会丢失，想要持久化的话，需要使用消息队列如rabbitmq等。</p>

                            <h3><a name="t12"></a><a name="t12"></a><span style="color:#0080ff;">redis如何实现延时队列？</span></h3>

                            <p>使用sortedset，拿时间戳作为score，消息内容作为key调用zadd来生产消息，消费者用zrangebyscore指令获取N秒之前的数据轮询进行处理。</p>

                            <h3><a name="t13"></a><a name="t13"></a><span style="color:#0080ff;">如果有大量的key需要设置同一时间过期，需要注意什么？</span></h3>

                            <p>如果大量的key过期时间设置的过于集中，到过期的那个时间点，redis可能会出现短暂的卡顿现象。一般需要在过期时间上加一个随机值，使得过期时间分散一些。</p>

                            <h3><a name="t14"></a><a name="t14"></a><span style="color:#0080ff;">Redis单点吞吐量</span></h3>

                            <p>单点TPS达到8万/秒，QPS达到10万/秒，补充下TPS和QPS的概念</p>

                            <ol><li>
                                <p>QPS: 应用系统每秒钟最大能接受的用户访问量。每秒钟处理完请求的次数，注意这里是处理完，具体是指发出请求到服务器处理完成功返回结果。可以理解在server中有个counter，每处理一个请求加1，1秒后counter=QPS。</p>
                            </li>
                                <li>
                                    <p>TPS：每秒钟最大能处理的请求数。每秒钟处理完的事务次数，一个应用系统1s能完成多少事务处理，一个事务在分布式处理中，可能会对应多个请求，对于衡量单个接口服务的处理能力，用QPS比较合理。</p>
                                </li>
                            </ol><h3><a name="t15"></a><a name="t15"></a><span style="color:#0080ff;">Redis哈希槽</span></h3>

                            <p>Redis集群没有使用一致性hash,而是引入了哈希槽的概念，当需要在 Redis 集群中放置一个 key-value 时，根据 CRC16(key) mod 16384的值，决定将一个key放到哪个桶中。</p>

                            <h3><a name="t16"></a><a name="t16"></a><span style="color:#0080ff;">Redis集群最大节点个数是多少？</span></h3>

                            <p>Redis集群预分好16384个桶(哈希槽)</p>

                            <h3><a name="t17"></a><a name="t17"></a><span style="color:#0080ff;">Redis事务是什么？</span></h3>

                            <p>Redis事务可以一次执行多个命令，有以下特点：</p>

                            <ul><li>
                                <p>批量操作在发送 EXEC 命令前被放入队列缓存。</p>
                            </li>
                                <li>
                                    <p>收到 EXEC 命令后进入事务执行，事务中任意命令执行失败，其余的命令依然被执行。</p>
                                </li>
                                <li>
                                    <p>在事务执行过程，其他客户端提交的命令请求不会插入到事务执行命令序列中。</p>
                                </li>
                            </ul><p>事务可以理解为一个打包的批量执行脚本，但批量指令并非原子化的操作，中间某条指令的失败不会导致前面已做指令的回滚，也不会造成后续的指令不做。</p>

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                    <div class="comment-list-box"><ul class="comment-list"><li class="comment-line-box d-flex" data-commentid="10399988" data-replyname="yangwohenmai1">      <a target="_blank" href="https://me.csdn.net/yangwohenmai1"><img src="./彻底搞懂Redis的线程模型_数据库_全菜工程师小辉的博客-CSDN博客_files/3_yangwohenmai1" username="yangwohenmai1" alt="yangwohenmai1" class="avatar"></a>        <div class="right-box ">          <div class="new-info-box clearfix">            <a target="_blank" href="https://me.csdn.net/yangwohenmai1"><span class="name ">佚名兄</span></a><span class="date" title="2019-08-16 19:15:47">7个月前</span><span class="floor-num"></span><span class="new-comment" style="display:inline-block;margin-top:0px">Emmm</span><span class="new-opt-box"><a class="btn btn-link-blue btn-report" data-type="report">举报</a><a class="btn btn-link-blue btn-reply" data-type="reply">回复</a></span></div><div class="comment-like " data-commentid="10399988"><svg t="1569296798904" class="icon " viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5522" width="200" height="200"><path d="M726.016 906.666667h-348.586667a118.016 118.016 0 0 1-116.992-107.904l-29.013333-362.666667A117.589333 117.589333 0 0 1 348.458667 309.333333H384c126.549333 0 160-104.661333 160-160 0-51.413333 39.296-88.704 93.397333-88.704 36.906667 0 71.68 18.389333 92.928 49.194667 26.88 39.04 43.178667 111.658667 12.714667 199.509333h95.530667a117.418667 117.418667 0 0 1 115.797333 136.106667l-49.28 308.522667a180.608 180.608 0 0 1-179.072 152.704zM348.458667 373.333333l-4.48 0.170667a53.461333 53.461333 0 0 0-48.768 57.472l29.013333 362.666667c2.218667 27.52 25.6 49.024 53.205333 49.024h348.544a116.949333 116.949333 0 0 0 115.925334-98.816l49.322666-308.736a53.418667 53.418667 0 0 0-52.650666-61.781334h-144.085334a32 32 0 0 1-28.458666-46.634666c45.909333-89.130667 28.885333-155.434667 11.562666-180.522667a48.981333 48.981333 0 0 0-40.192-21.504c-6.912 0-29.397333 1.792-29.397333 24.704 0 111.317333-76.928 224-224 224h-35.541333zM170.624 906.666667a32.042667 32.042667 0 0 1-31.872-29.44l-42.666667-533.333334a32.042667 32.042667 0 0 1 29.354667-34.474666c17.066667-1.408 33.024 11.733333 34.432 29.354666l42.666667 533.333334a32.042667 32.042667 0 0 1-31.914667 34.56z" p-id="5523"></path></svg><span></span></div></div></li></ul></div>
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